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Cited by 877

The DOI matches its Crossref record; 4 of the 4 references it cites were found in a registry or an index.

When Professionals Become Mothers, Warmth Doesn't Cut the Ice

Cuddy, Amy J. C., Fiske, Susan T., Glick, Peter·2004·Journal of Social Issues

Abstract

Working moms risk being reduced to one of two subtypes: homemakers—viewed as warm but incompetent, or female professionals—characterized as competent but cold. The current study ( N= 122 college students) presents four important findings. First, when working women become mothers, they trade perceived competence for perceived warmth. Second, working men don't make this trade; when they become fathers, they gain perceived warmth and maintain perceived competence. Third, people report less interest in hiring, promoting, and educating working moms relative to working dads and childless employees. Finally, competence ratings predict interest in hiring, promoting, and educating workers. Thus, working moms' gain in perceived warmth does not help them, but their loss in perceived competence does hurt them.

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Crossref · 10.1111/j.0022-4537.2004.00381.x

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Metadata

Authors
Cuddy, A. J. C., Fiske, S. T., & Glick, P.
Venue
Journal of Social Issues
Publisher
Wiley
Published
2004-11-08
Volume
60
Issue
4
Pages
701-718
ISSN
  • 0022-4537 (ISSN-L)
  • 1540-4560
OpenAlex
W2166730164
Cited by
877
References
4
FWCI
36.73
Type
journal article
Language
en
Open access
closed

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CoChat. (2026). Citation check: When Professionals Become Mothers, Warmth Doesn't Cut the Ice. https://app.cochat.ai/papers/10.1111/j.0022-4537.2004.00381.x
The paper
Cuddy, A. J. C., Fiske, S. T., & Glick, P. (2004). When Professionals Become Mothers, Warmth Doesn't Cut the Ice. Journal of Social Issues. https://doi.org/10.1111/j.0022-4537.2004.00381.x

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Bibliographic data: Semantic Scholar, OpenAlex, Crossref.

Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.